Michael D Linderman
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Explore the profile of Michael D Linderman including associated specialties, affiliations and a list of published articles.
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30
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1149
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Recent Articles
1.
Linderman M, Wallace J, van der Heyde A, Wieman E, Brey D, Shi Y, et al.
Bioinformatics
. 2024 Mar;
40(3).
PMID: 38444093
Motivation: Structural variants (SVs) play a causal role in numerous diseases but can be difficult to detect and accurately genotype (determine zygosity) with short-read genome sequencing data (SRS). Improving SV...
2.
NPSV: A simulation-driven approach to genotyping structural variants in whole-genome sequencing data
Linderman M, Paudyal C, Shakeel M, Kelley W, Bashir A, Gelb B
Gigascience
. 2021 Jul;
10(7).
PMID: 34195837
Background: Structural variants (SVs) play a causal role in numerous diseases but are difficult to detect and accurately genotype (determine zygosity) in whole-genome next-generation sequencing data. SV genotypers that assume...
3.
Linderman M, Suckiel S, Thompson N, Weiss D, Roberts J, Green R
Public Health Genomics
. 2021 May;
24(5-6):291-303.
PMID: 34058740
Background: Genomic testing is increasingly employed in clinical, research, educational, and commercial contexts. Genomic literacy is a prerequisite for the effective application of genomic testing, creating a corresponding need for...
4.
Linderman M, McElroy L, Chang L
BMC Med Genomics
. 2019 Nov;
12(1):172.
PMID: 31775760
Background: The complexity of genome informatics is a recurring challenge for genome exploration and analysis by students and other non-experts. This complexity creates a barrier to wider implementation of experiential...
5.
Linderman M, Chia D, Wallace F, Nothaft F
BMC Bioinformatics
. 2019 Oct;
20(1):493.
PMID: 31604420
Background: XHMM is a widely used tool for copy-number variant (CNV) discovery from whole exome sequencing data but can require hours to days to run for large cohorts. A more...
6.
Zoltick E, Linderman M, McGinniss M, Ramos E, Ball M, Church G, et al.
Genome Med
. 2019 Feb;
11(1):10.
PMID: 30808425
Background: Increasing numbers of healthy individuals are undergoing predispositional personal genome sequencing. Here we describe the design and early outcomes of the PeopleSeq Consortium, a multi-cohort collaboration of predispositional genome...
7.
Linderman M, Sanderson S, Bashir A, Diaz G, Kasarskis A, Zinberg R, et al.
BMC Med Genomics
. 2018 Feb;
11(1):5.
PMID: 29382336
Background: To address the need for more effective genomics training, beginning in 2012 the Icahn School of Medicine at Mount Sinai has offered a unique laboratory-style graduate genomics course, "Practical...
8.
Linderman M, Athalye V, Meng T, Asadi N, Bruggner R, Nolan G
ICS
. 2017 Aug;
2010:95-104.
PMID: 28819655
Aberrant intracellular signaling plays an important role in many diseases. The causal structure of signal transduction networks can be modeled as Bayesian Networks (BNs), and computationally learned from experimental data....
9.
Linderman M, Ho M, Dill D, Meng T, Nolan G
Proc CGO
. 2017 Aug;
2010:230-237.
PMID: 28804690
Reducing the arithmetic precision of a computation has real performance implications, including increased speed, decreased power consumption, and a smaller memory footprint. For some architectures, e.g., GPUs, there can be...
10.
Rasmussen-Torvik L, Almoguera B, Doheny K, Freimuth R, Gordon A, Hakonarson H, et al.
J Mol Diagn
. 2017 May;
19(4):561-566.
PMID: 28502727
There has been extensive debate about both the necessity of orthogonal confirmation of next-generation sequencing (NGS) results in Clinical Laboratory Improvement Amendments-approved laboratories and return of research NGS results to...